This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of AI-Powered Pet Health Diagnostic Tool

yslingshot.com

Health & Fitness

Challenges in Automated Test Result Analysis

OraStripDX's 10-second pet health test generates test strip photos. Manually evaluating these photos for periodontal disease is time-consuming, prone to human error, and limits scalability. Lighting variations in testing environments further complicate accurate result interpretation, requiring additional manual steps for color balancing.

About the Client

OraStripDX is a company specializing in developing rapid diagnostic tools for pet health, focusing initially on periodontal disease detection.

Project Goals

Develop a highly accurate and reliable computer vision algorithm for analyzing test strip photos.
Create a user-friendly solution allowing non-technical and non-medical users to interpret test results accurately.
Reduce the time and effort required for test result evaluation.
Improve the scalability of OraStripDX's diagnostic testing process.
Prepare for the development of a mobile application to enhance user accessibility.

System Functionality

Image Upload: Ability to upload test strip images from various sources (computer, mobile).
Automated Analysis: AI algorithm to analyze uploaded images.
Real-time Results: Display of test results (positive/negative) within seconds.
Lighting Compensation: Algorithm to compensate for variations in lighting conditions.
Reference Point Integration: Functionality to incorporate the bottle's result tracker in the photo for color balancing.
User-Friendly Interface: Intuitive and easy-to-use interface for non-technical users.
Result Display: Clear and concise presentation of test results.

Technology Stack

Computer Vision

AI/Machine Learning

AWS Services (e.g., S3 for image storage, SageMaker for model training/deployment)

External Integrations

Potential future integration with mobile app platforms (iOS, Android)

Non-Functional Requirements

High Accuracy: Algorithm must achieve a minimum accuracy of 99%.
Real-time Performance: Results should be provided within a few seconds of image upload.
Scalability: System must be able to handle a large volume of image uploads.
Security: Ensure data privacy and security of user-uploaded images.
Reliability: System should be highly reliable and available.

Business Impact

This project will significantly improve OraStripDX's operational efficiency by automating test result analysis, reducing costs, and enabling them to scale their services. The user-friendly solution will expand their customer base by making their diagnostic tool accessible to a wider audience, including pet owners without medical expertise. The successful deployment will pave the way for a mobile application, further enhancing user convenience and market reach.